The integration of sophisticated inference-based techniques into natural language processing applications first requires a reliable method of encoding the predicate-argument struc...
Phylogenetic trees are commonly reconstructed based on hard optimization problems such as Maximum parsimony (MP) and Maximum likelihood (ML). Conventional MP heuristics for produc...
Anupam Bhattacharjee, Kazi Zakia Sultana, Zalia Sh...
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
Geospatial data is often used to predict or recommend movements of robots, people, or animals ("walkers"). Analysis of such systems can be combinatorially explosive. Eac...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...